slough, south east england, united kingdom Hybrid / WFH Options
Intellect Group
DataScientist – Gambling Sector Location: London (Hybrid/Remote Options) Salary: Competitive salary + Bonus + Benefits Start Date: ASAP About the Opportunity: We are seeking a DataScientist with 3–7 years of experience to join a fast-growing technology company operating in the gambling and gaming space. This role is ideal for candidates who … are either already experienced in the gambling sector or have a strong interest in applying data science within this industry . You’ll work on large, complex datasets to uncover behavioural patterns, build predictive models, and drive data-led strategies that directly influence product and business decisions. What You’ll Be Doing: Designing and deploying predictive models, machine … learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring and improving platform and product performance More ❯
slough, south east england, united kingdom Hybrid / WFH Options
OTA Recruitment
DataScientist Salary: £55-70k plus attractive bonus on top Location: London or Leeds (hybrid working, if preferred) About us We have an exciting opportunity for a DataScientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a DataScientist within the Modelling & Data Engineering department … and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve modelling practices across the business. This role is ideal for someone with a strong foundation in data science who is … sports forecasting and pricing across various markets. Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles. Translate modelling requirements and business objectives into effective data science solutions, working closely with the Delivery Manager and Engineering teammates (Software and Data Engineers) within your modelling team. Perform data cleaning, exploratory data analysis (EDA More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Intellect Group
Role : Junior DataScientist Location : London, UK (Hybrid) Salary : £35k-£45k (DOE) Are you passionate about data and finance? Join a revolutionary financial services company in the heart of London, where you'll help over 200,000 businesses across the UK and Europe navigate challenges and boost profitability. My client is looking for a Junior DataScientist eager to apply their analytical and modeling skills to provide insight and drive impactful business decisions. Your Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business … processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate with cross-functional teams: Work closely with finance, product, and technology teams to align data science initiatives with business goals. Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements More ❯
DataScientist – Quantitative Hybrid (3 days in London office) | Full-time | Permanent You need to have a core background in statistical analysis of survey data and experience of working in a research agency. An exciting opportunity has opened up at a fast-growing insight and strategy consultancy for an experienced DataScientist to lead the … development of their in-house data science capabilities. This is a newly created role where you'll shape the future of how the team integrates advanced analytics, diverse datasets, and machine learning into high-impact client projects across sectors such as media, tech, and entertainment. You’ll be joining a collaborative, supportive environment with around 60 consultants, strategists, and … analysts – all passionate about delivering actionable insight and tackling complex questions. The consultancy is known for its bespoke, high-quality approach and is now expanding into deeper data-led offerings. The Role This is a hands-on, strategic position reporting into a senior leader within the Quant team. You'll work across a mix of project delivery, innovation, and More ❯
DataScientist | AI Tech Start-Up | £60,000-£85,000 DOE + Shares | London/Hybrid We are excited to be working with a rapidly growing AI tech start-up that’s expanding its team with a talented Data Scientist. The Company This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered … on, intelligent insights, empowering top-tier clients across sectors, including asset management, banking, retail, telecoms, supply chain, and utilities, to dramatically enhance performance and efficiency. The Role As a DataScientist, you’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises. This isn’t your typical data science position … on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable DataScientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You More ❯
DATASCIENTIST LONDON (HYBRID - 3 Days Per Week) UP to £60,000 COMPANY: This company is a global leader in Customer Data Science, who work across customer analytics and loyalty working as a consultancy services giving you’re the opportunity to work with market leading business & retailers! They are looking for a DataScientist to … join their Data Science team! RESPONSIBILITIES: Work on designing and building advanced ML models - including propensity and clustering Apply machine learning, statistical, and econometric methods to a range of other customer data science problems Working closely within a team to understand, troubleshoot, and maintain machine learning models Maintain and enhance existing ML models, ensuring all models are deployed … MATLAB Excellent communication skills Knowledge of databases and SQL NEXT STEPS: Register your interest by sending your CV to Joseph Gregory via the Apply link on this page. KEYWORDS: Data Science, Machine Learning, Retailers, Pricing, Price optimisation, Demand Forecasting, Customer, cluster, propensity More ❯
Senior DataScientist Hybrid - London 1 day per week Up to £80,000 About the Role We are working with a high-growth performance marketing and technology company who are looking for a new Senior DataScientist to join the team. You'll be working at the intersection of data, technology, and marketing, you’ll … lead the delivery of cutting-edge machine learning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such as customer lifetime value, predictive modelling, bidding optimisation, and experimentation, whilst also acting as a data lead for major clients. Initially hands-on … this role will evolve into a more strategic leadership position, with team management responsibilities (starting with three Data Scientists, growing to five within a year) expected within the first six months. Key Responsibilities Lead and deliver data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Datatech Analytics
Senior DataScientist – Consumer Lending Hybrid – London | Up to £75,000 DOE + Benefits Ref: J12979 We are partnering with a consumer finance business that’s reshaping credit, fairer, simpler, and powered by data. Think challenger fintech, with transparency at its core and real-world impact at scale. The Role This Senior DataScientist will own … model development end to end, building and deploying ML models that shape decisions across underwriting, fraud, and customer conversion. A hands on role, working with both structured and unstructured data in a fast-paced, collaborative team. What We’re Looking For Strong Python (pandas, sklearn, etc.) and advanced SQL Experience in behavioural or credit models Good understanding of ML … algorithms Clear communicator across technical and non-technical teams Knowledge of data drift and model monitoring Excellent data visualisation—ideas that land Degree in Computer Science, Maths, Stats, or similar Bonus Points For Experience in credit cards or consumer lending Deep learning (Keras, TensorFlow) Git, Tableau, Bitbucket Master’s in Data Science or related field What’s More ❯
Full Stack DataScientist - AI & Knowledge Systems About the Role We are seeking an exceptional Full Stack DataScientist to join our clients innovation team. This role combines traditional data science expertise with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated … and causal inference systems Create probabilistic models to address complex business problems Scale AI solutions from proof-of-concept to MVP and full production Collaborate with backend engineers on data pipelines and infrastructure Work within solution architecture frameworks to ensure AI integration Contribute to solution design and technical decision-making Translate business requirements into technical specifications Required Skills & Experience … Great experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data pipelines, and ETL processes Familiarity with cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and More ❯
Are you passionate about solving complex problems with data? Join a fast-growing tech and software innovation company in the heart of London. We’re looking for a DataScientist eager to apply advanced modelling, analytics, and machine learning to build cutting-edge software solutions that empower businesses, streamline operations, and unlock growth. 🔍 Your Responsibilities: Data … with large, complex datasets to uncover insights and build scalable predictive models. Machine learning development: Design, train, and deploy models for applications. Software integration: Collaborate with engineers to integrate data-driven models into live products and platforms. Tool & framework development: Build algorithms, APIs, and analytical tools that enhance product capabilities and improve user experience. Data storytelling & reporting: Create … Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands-on experience in supervised and unsupervised learning, with exposure to NLP, computer vision, or deep learning a plus. Data visualisation: Proficiency in Tableau, Power BI, or similar. Problem-solving mindset: Ability to translate complex technical problems into business solutions. 🌟 It’s a Bonus If You Have: Experience in More ❯
a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of AI. 🌎 Location and Legalities This full-time DataScientist position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not … provide visa sponsorship. 🚀 What You'll Do As a DataScientist at Ultralytics, you will analyze vast datasets to drive model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and … datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing user and model telemetry from sources like Google Analytics and MongoDB to understand user behavior and guide product development. Collaborating with the engineering team to refine model training and evaluation pipelines, ensuring data quality and integrity. Developing and More ❯
DataScientist - Risk | Automotive🚘 | London (Hybrid) | £60,000-£90,000 Peaple Talent have partnered with a leading Automotive business who deliver smart & sustainable solutions that improve customers’ mobility. They're the UK’s largest car leasing company and help over 750,000 people get on the road. My client are unique in that they provide comprehensive insurance as … part of the overall lease costs. With 815k+ Scheme Customers this is the largest motor fleet policy in the UK. We are now seeking a selection of Senior Data Science Risk Modellers, who will be responsible for delivering a strong model risk management framework, and ensuring all forecast models are robustly implemented. What we're looking for: A strong … background in Statistics, Mathematics, Economics, Data Science, or a related field A number of years of experience working within Risk Modelling, Risk Management, Risk Validation Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive/Finance/Manufacturing is high desired More ❯
BT9, Windsor, City of Belfast, County Antrim, United Kingdom Hybrid / WFH Options
Exposed Solutions
Our client, a dynamic and innovative data and analytics organisation, is seeking an experienced DataScientist to join their growing team. This is an excellent opportunity for a candidate who thrives on solving complex problems with data and is motivated by the transformative impact that Data and AI can deliver within organisations. Key Responsibilities Deliver … high-quality data science and analytics solutions, contributing to design, development, and product roadmaps. Collaborate with clients and internal teams to gather requirements, analyse data, and validate solutions. Develop and implement descriptive, predictive, and prescriptive analytics, integrating data from multiple sources. Produce clear documentation, reports, and visualisations. Provide technical input for proposals, solution scoping, and proofs-of … concept. Attend occasional client meetings or events across the UK, Europe, and internationally. Required Experience Strong knowledge of data modelling, machine learning, and/or advanced data analytics. Demonstrable track record of delivering data analytics projects as part of a team. Hands-on experience with collaborative software development and version control (preferably Git). Familiarity with Agile More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Harnham
Lead DataScientist Up to £90,000 London (Remote/Hybrid) Company: Join a global financial platform offering fast, secure, and affordable money transfers, multi-currency wallets, and essential banking services worldwide, all within one app. You’ll be responsible for designing, building, and optimising credit and risk scoring models that drive key financial decisions across global markets. … Responsibilities: Lead the development and maintenance of credit risk and affordability models using bureau, open banking, and alternative behavioural data. Own end-to-end model lifecycle: data sourcing, feature engineering, model development, validation, and monitoring. Design and execute champion/challenger tests and A/B experiments to continuously improve approval rates, loss rates, and customer experience Analyse credit … performance data to generate actionable insight and support strategic decisions Mentor and develop a small team of analysts/data scientists as the team scales Work closely with Data Engineering to deploy models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD Degree in More ❯
We are partnered with an elite systematic investment fund in the UAE seeking Data Scientists and Data Researchers with a strong interest in AI and Finance to join their growing team. This role sits at the intersection of quantitative research and data science, with a focus on advancing systematic investing through innovative data solutions. Key Responsibilities … Data Ingestion & Cleansing: Develop pipelines to integrate and clean large, complex datasets (commodities, equities, alternative data). Data Analysis: Apply statistical and machine learning techniques to uncover actionable insights for investment strategies. Data Infrastructure: Maintain and optimise automated systems for data collection, storage, and retrieval to support the research process. Collaborate with researchers, engineers, and … improve the financial accuracy and relevance of AI-driven outputs. Key Requirements: Bachelor’s degree in Finance, Computer Science, or a related discipline 2+ years of experience in finance, data science, or a closely related field Strong understanding of macroeconomics, financial markets, and investment principles Proficiency in Python, with experience in data manipulation libraries such as pandas and More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Oscar
New Role: Data Science Engineer (NLP Focus) 💰 Salary: up to £75,000 🏠 Hybrid/Remote: Flexible, with regular London meetings 📍 Location: UK-based (preferably London) We're looking for a Data Science Engineer to join a fast-moving team working on LLM pipelines and data at scale. This is a great opportunity for someone passionate about impactful … data work and modern AI tools. What We're Looking For: ✅Few years experience in data science or engineering ✅ Strong Python skills and extensive experience with LLMs/NLP ✅ Experience building scalable data pipelines If you're a hands-on datascientist/engineer looking for your next step, we’d love to hear from More ❯
million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours. We are feeding the world’s curiosity! Job Description The Opportunity As a Senior DataScientist at Cint, you will play a pivotal role in optimizing the Cint Exchange. Collaborating closely with product and engineering teams, you will deliver data-driven solutions … to enhance the performance of existing products, inform the development of new offerings, and deepen our understanding of marketplace dynamics. This role involves advanced data mining and analytics, robust product and data validation, and the development of sophisticated statistical and machine learning-based methodologies. The ideal candidate will have a strong ability to independently research, develop, and maintain … recommendations through compelling visualizations and presentations tailored to diverse technical and non-technical audiences. Qualifications What we are looking for Minimum 5 years of solid working experience in a Data Science capacity, with demonstrated experience in leading projects or initiatives. A Master's degree (or equivalent) in Statistics, Quantitative Sciences, Data Science, Operations Research, or a related quantitative More ❯
million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours. We are feeding the world’s curiosity! Job Description The Opportunity As a DataScientist at Cint you will have the opportunity to work alongside our Data Science and Analytics teams and collaborate with product and engineering teams to work on Identity … and Data Solutions products. This includes vendor analysis and onboarding, establishing statistical methodology and modeling standards and development. The ideal candidate is a self-starter comfortable working with large datasets and knowledgeable in statistical and machine learning techniques, with an eagerness to learn and contribute to the development and validation of products that align Cint capabilities with the market. … What ou will do Support research and discovery phase for new and existing products/models. The primary areas include Identity and Data Solutions. Actively participate in the development and enhancement of our Identity Graph, utilizing statistical and machine learning techniques to improve accuracy. Drive the onboarding and validation of new data vendors, by establishing statistical methodologies and More ❯
slough, south east england, united kingdom Hybrid / WFH Options
ADLIB Recruitment | B Corp™
lead in developing complex financial risk models from the ground up. Hybrid role in London - minimum three days in the office per week. If you’re the kind of datascientist who doesn’t just tweak models but creates them from the ground up, this is your chance to make a real impact. We’re looking for a … commercially minded Senior Risk Modeller with a strong data science background to join a forward-thinking team shaping critical financial forecasts. In this role, you’ll take ownership of sophisticated models that help make major business decisions - from residual value forecasting to insurance pricing and economic capital. What you’ll be doing: It’s a role for someone who … customer pricing models, your influence will be felt across the business... sound like you? Apply now! What experience you’ll need to apply: Solid track record in forecasting and data analysis/data science, with hands-on experience building and enhancing complex models from scratch Proficiency with statistical tools and programming languages such as R, Python, or SAS More ❯
sustainable business performance Transforming organisations and develop future sport leaders Driving increased and more effective funding into sport Achieving lasting positive change in society Overview We are expanding our Data & AI team and are looking for a Senior DataScientist to join the team. You will lead analytical workstreams on client projects, help productionise workflows and mentor … making across sporting performance, commercial and operations. We are looking for someone proactive, excited by the opportunity of working in a growing team, and who loves sport. Responsibilities: Lead data science workstreams on client projects, managing analysts and collaborating with consultants Develop and deploy statistical models and core IP Build reusable tools to streamline analysis and visualisation Communicate insights More ❯
Our client, a London-based private credit investor, is seeking a DataScientist to join the investments team in Mayfair, supporting with all aspects of the investments process. You will Develop and implement quantitative models for pricing and risk assessment of asset-backed finance investments Work with internal teams to help select and/or build the system … and tools infrastructure to store, process, analyze, and monitor investment-related data effectively Conduct in-depth analysis of financial data to support investment decisions and risk management strategies You'll need Master’s degree or PhD in Mathematics, Statistics, or a related quantitative field Experience working with data on granular loan portfolios (e.g., consumer lending, SME lending More ❯
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms … business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big DataMore ❯